Researchers are exploring various methods for vibration-based structural health monitoring, including the use of explainable multichannel convolutional neural networks and other machine learning approaches. Studies are being conducted on different structures, such as aircraft, industrial equipment, and bridges, using techniques like laser-doppler vibrometry and fiber optic sensors. The goal of this research appears to be the development of effective tools for detecting and diagnosing structural damage and health issues in various applications.